Trong-Nam Tran

Hanoi University of Science and Technology

Papers

Total Citations

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About

Dr. Trong-Nam Tran is a rising researcher in the field of robotics and intelligent control systems, with a particular focus on parallel robot manipulation and advanced fuzzy logic methodologies. His work centers on enhancing the precision and adaptability of robotic systems through the integration of computational intelligence. In his notable 2024 study, Dr. Tran introduced a novel trajectory control framework for delta robots, combining an Interval Type-2 Fuzzy Logic Controller (IT2FLC) with a Genetic Algorithm (GA) for optimization. This approach significantly improves upon traditional Type-1 Fuzzy Logic Controllers by better handling uncertainty and system nonlinearities, offering a more robust solution for high-speed, precise robotic tasks. While his citation count is currently modest, reflecting the recent publication of his work, the innovative synthesis of GA and IT2FLC in his paper demonstrates a promising direction for next-generation automation. Dr. Tran’s contributions are particularly relevant for applications in manufacturing, pick-and-place operations, and medical robotics, where trajectory accuracy is critical. His research marks an important step toward more intelligent and adaptive robotic control systems.